Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus . Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China. The data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme. Full details about this dataset can be found at https://doi.org/10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73

This dataset contains data that are meant to be used in conjunction with the “Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions” dataset. There are three data files. The Sed_fluxes.csv file contains mass balance information i.e., the sediment flux injected in the channel and that collected at the outlet. The other two files detail the evolution of the channel morphology before and after each of the experimental flood events. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9457cd25-b8d6-4319-8e75-e9fdc7a171ab

The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. Based on these criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. The products were generated as part of a project, 'Can Paying 4 Global Ecosystem Services reduce poverty?' (P4GES), funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme Full details about this dataset can be found at https://doi.org/10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f

Elemental analysis of 80 soil samples taken in the Ningbo Watershed, in the Zhangxi catchment, Eastern China. Variables measured include As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios along with concentrations of Zn, Ca and K. Data was collected in March 2016 and analysed at Queens Belfast University. The data was collected and analysed as part of a NERC NSFC funded multi project research programme UK- China Critical Zone Observation Programme. Full details about this dataset can be found at https://doi.org/10.5285/9c2e8b85-48ab-48c9-b69d-dd676a5d086f

Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. Site NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare rates of litter and root production and decay at the two sites, over a complete annual cycle, in order to understand the dynamics of carbon accumulation in peat in this region. Selected datasets extend to other sites, in order to provide some context for the measurements from NYO-03 and VEN-02. Downcore data from peat cores from the sites provide palaeoecological information. Full details about this dataset can be found at https://doi.org/10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04

This dataset contains measurements of plant biomass and leaf-level functional traits from sugarcane plants of four different genotypes that were grown under different ozone (O3) conditions in Open Top Chambers for approximately 90 days. It also contains the calculated phytotoxic ozone dose for each of the four genotypes, the O3 concentration measurements and the environmental conditions (air temperature, relative humidity, and photosynthetically active radiation). The four genotypes tested were: Saccharum officinarum L. cv. Badila, Saccharum spontaneum cv. Mandalay, Q240, and CTC4. Full details about this dataset can be found at https://doi.org/10.5285/68adb7d4-6138-4d70-b469-2471349b331a

Code to compare the mass and energy balance of five Peruvian glaciers, based on outputs from the energy balance model Tethys-Chloris. Also includes code to compare the results of climate sensitivity experiments (where the air temperature and precipitation were varied). The main outputs of the analysis at each of the sites are also stored. Full details about this dataset can be found at https://doi.org/10.5285/5f6661e4-1d34-4b01-8f3a-9fc86c546f73

Soil data comprises sample depth, moisture content, % sand/silt/clay, texture, and various nitrate/nitrite/carbon metrics. These data were collected from the South Fork McKenzie River, Oregon, USA in July 2020, February 2021 and June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in soil response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council grant NE/V021443/1. Full details about this dataset can be found at https://doi.org/10.5285/d69e854a-f01d-4d5e-8819-219053e8d00c

This dataset describes hourly time series of discharge and suspended sediment flux at four sites in the Vietnamese Mekong Delta (Chau Doc, Tan Chau, Can Tho and My Thaun) for the period 2005 – 2015. This data was calculated from historic Acoustic Doppler Current Profiler (aDcp)data obtained as part of routine flood monitoring conducted by the Vietnamese Hydrological Agency. The data were collated by the authors. The data were processed to back out sediment fluxes through the delta through calibration of the acoustic backscatter signal to suspended sediment concentrations collected in Chau Doc (May 2017) and Can Tho (September 2017). For each aDcp instrument acoustic backscatter signal was calibrated to observed suspended sediment concentrations (SSCs). These concentrations values were then matched to measured acoustic backscatter values (dB) from the depth at which each sample was taken to generate power law calibration curves. To generate daily fluxes, the point specific ADCP fluxes were used to generate sediment ratings curves between sediment flux (kg/s) and discharge (m3/s). These ratings curves were then propagated over recorded daily discharge values measured by the Vietnamese hydrological agency to provide daily fluxes over the period of record. The work was funded through NERC grant reference NE/P008100/1 - Deciphering the dominant drivers of contemporary relative sea-level change: Analysing sediment deposition and subsidence in a vulnerable mega-delta. Full details about this dataset can be found at https://doi.org/10.5285/ac5b28ca-e087-4aec-974a-5a9f84b06595

This dataset provides details about each time we observed two banded mongoose groups engaging in what ended up being lethal conflict at our field site (Mweya, Uganda) between 2000-2011. The dataset provides information about which group won the contest (measured by which group ran from the location of the fight), which individual died in the battle, whether that individual was in the losing or winning group, and the date. The purpose of this data was to estimate the proportion of mortalities which come from winning groups vs. losing groups. Full details about this dataset can be found at https://doi.org/10.5285/75f2072e-f708-46d8-baff-0c6d02d81ede